{"id":"W4328105327","doi":"10.18280/acsm.470106","title":"Optimization of Process Parameters for Preparation of Lanthanum Hexa-Aluminate Powders Using Combinatorial Approach of Taguchi-GRA and ACO Methods","year":2023,"lang":"en","type":"article","venue":"Annales de Chimie Science des Matériaux","topic":"Pigment Synthesis and Properties","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"HEXA; Taguchi methods; Lanthanum; Aluminate; Process (computing); Materials science; Chromatography; Process engineering; Computer science; Engineering; Chemistry; Composite material; Organic chemistry; Crystallography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001125549,0.000112523,0.0002615398,0.0001530752,0.0001283805,0.00003068795,0.0002419593,0.00006374625,0.000007302158],"category_scores_gemma":[0.0004942249,0.00009760691,0.00006068954,0.0003993441,0.0007900873,0.0002938015,0.00005512404,0.00004032688,1.200044e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002565446,"about_ca_system_score_gemma":0.0001582132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000270217,"about_ca_topic_score_gemma":5.151293e-7,"domain_scores_codex":[0.9989035,0.00004579918,0.0003211258,0.0002473479,0.0002499867,0.0002322781],"domain_scores_gemma":[0.9991087,0.0001540058,0.0003121579,0.0001700612,0.0002032369,0.00005185705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004129742,0.0001733041,0.002822142,0.003267223,0.00006684531,2.829176e-7,0.005961285,0.136831,0.8459339,0.001132006,0.00002718556,0.003371891],"study_design_scores_gemma":[0.0002305935,0.00006124692,0.0001261328,0.0001177769,0.00003563273,0.000002360093,0.00164309,0.3301426,0.6654661,0.002082894,0.000004575482,0.00008698313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753776,0.0001043342,0.02380702,0.00001632464,0.000061237,0.0001631943,0.00002947823,0.00002374761,0.0004170569],"genre_scores_gemma":[0.8861582,0.00007653342,0.1136865,0.000003643167,0.00001167973,0.00002044986,0.0000141765,0.00001052859,0.00001826113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1933117,"threshold_uncertainty_score":0.3980294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09908995556356519,"score_gpt":0.3839589661320931,"score_spread":0.2848690105685279,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}